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campaign-analytics

Analyze static JSON campaign data with multi-touch attribution, funnel conversion, and ROI metrics.

Updated Jun 27, 2026
Search Tags:#funnel analysis#campaign optimization#roi calculation#marketing attribution#multi-touch attribution#marketing benchmarks
One-click install
npx skills add https://github.com/JDMAXilius/Brand-building --skill campaign-analytics-jdmaxilius
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: campaign-analytics
Source: https://github.com/JDMAXilius/Brand-building/tree/main/skills/campaign-analytics
Command: npx skills add https://github.com/JDMAXilius/Brand-building --skill campaign-analytics-jdmaxilius

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

Marketing teams often rely on biased single-touch attribution models, struggle to identify funnel bottlenecks without manual analysis, and lack standardized benchmarks to evaluate campaign performance, leading to inefficient budget allocation and missed growth opportunities.

Core Features & Use Cases

  • Multi-Touch Attribution Modeling: Run 5 industry-standard attribution models to fairly credit all channels in the customer journey, avoiding the bias of last-touch or first-touch only analysis.
  • Funnel Conversion Analysis: Identify stage-by-stage drop-off rates, absolute and relative bottlenecks, and compare performance across segments (e.g., organic vs paid traffic) to prioritize optimization efforts.
  • Campaign ROI Calculation: Calculate 10+ performance metrics (ROI, ROAS, CPA, CPL, CAC) with industry benchmarking and underperformance flagging to quickly spot unprofitable campaigns.
  • Use Case: A marketing manager can use this skill to analyze cross-channel campaign data, determine which channels drive the most conversions, fix funnel leaks, and reallocate budget to high-ROI initiatives.

Quick Start

Use the campaign-analytics skill to analyze your latest campaign performance data and generate a full attribution, funnel, and ROI report.

Frequently Asked Questions about campaign-analytics

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How does multi-touch attribution improve marketing ROI calculation?▼

Funnel conversion analysis identifies stage-by-stage drop-off rates and absolute bottlenecks by comparing performance across segments like organic versus paid traffic. This process helps prioritize optimization efforts to fix leaks in multi-channel campaigns.

Can I calculate campaign ROI for B2B and e-commerce using static JSON data?▼

Yes, you can calculate campaign ROI for B2B, B2C, and e-commerce using deterministic offline analysis of static JSON campaign data. The process requires no external dependencies to evaluate performance metrics like ROAS, CPA, and CAC.

What is the best way to compare campaign performance against marketing benchmarks?▼

The best way to compare campaign performance against marketing benchmarks is to calculate over ten performance metrics with industry benchmarking and underperformance flagging. This quickly spots unprofitable campaigns and identifies missed growth opportunities.

What output formats are supported for campaign optimization reporting?▼

Campaign optimization reporting supports both human-readable text and machine-readable JSON output. This dual format enables seamless pipeline integration and standardized reporting for cross-channel marketing data analysis.

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